Associated Papers
Subtype distribution, clinical presentation, and molecular spectrum of neurofibromatosis type 1-associated breast cancer.
Di Giosaffatte N et al.
Breast (edinburgh, Scotland), 2025
41218342 (PubMed )
Supplement: mmc4.xlsx › Foglio1
RENOVO-NF1 accurately predicts NF1 missense variant pathogenicity.
Bonetti E et al.
Human Genomics, 2025
40887659 (PubMed )
Supplement: 40246_2025_803_MOESM2_ESM.xlsx › Sheet_1
Exclusion-based exome sequencing in critically ill adults 18-40 years old has a 24% diagnostic rate and finds racial disparities in access to genetic testing.
Gold JI et al.
American Journal of Human Genetics, 2025
40628270 (PubMed )
Supplement: mmc2.xlsx › Table_S1
All exons are not created equal-exon vulnerability determines the effect of exonic mutations on splicing.
Holm LL et al.
Nucleic Acids Research, 2024
38324470 (PubMed )
Supplement: gkae077_supplemental_files.zip › supplementary_tables.xlsx › Supplementary_table_S1_-_ESM_DB
Universal Exome Sequencing in Critically Ill Adults: A Diagnostic Yield of 25% and Race-Based Disparities in Access to Genetic Testing.
Gold J et al.
Medrxiv : the Preprint Server for Health Sciences, 2024
38559092 (PubMed )
Supplement: media-1.xlsx › MICUSeq.Data.Filtered.Clean_Spl
Multifocal Organoid Capturing of Colon Cancer Reveals Pervasive Intratumoral Heterogenous Drug Responses.
Kim SC et al.
Advanced Science (weinheim, Baden-wurttemberg, Germany), 2022
34918496 (PubMed )
Supplement: ADVS-9-2103360-s007.xlsx › Table_S3C
Pathogenic neurofibromatosis type 1 (NF1) RNA splicing resolved by targeted RNAseq.
Koster R et al.
Npj Genomic Medicine, 2021
Role of Splicing Regulatory Elements and In Silico Tools Usage in the Identification of Deep Intronic Splicing Variants in Hereditary Breast/Ovarian Cancer Genes.
Moles-Fernández A et al.
Cancers, 2021
34283047 (PubMed )
Supplement: cancers-13-03341-s001.zip › 2_Supplementary_table_S2A_2B.xlsx › Suppl_Table_2A
In-silico Analysis of NF1 Missense Variants in ClinVar: Translating Variant Predictions into Variant Interpretation and Classification.
Accetturo M et al.
International Journal of Molecular Sciences, 2020
31979111 (PubMed )
Supplement: ijms-21-00721-s001.zip › ijms-614345-supplementary_files › Supplementary_Table_S3.xlsx › Suppl._Table_S3
Mutations of Pre-mRNA Splicing Regulatory Elements: Are Predictions Moving Forward to Clinical Diagnostics?
Grodecká L et al.
International Journal of Molecular Sciences, 2017
Structure-energy-based predictions and network modelling of RASopathy and cancer missense mutations.
Kiel C et al.
Molecular Systems Biology, 2014
24803665 (PubMed )
Supplement: MSB-10-5-727-s13.xls › energies
MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.
Mort M et al.
Genome Biology, 2014
24451234 (PubMed )
Supplement: gb-2014-15-1-r19-S1.pdf
Human Splicing Finder: an online bioinformatics tool to predict splicing signals.
Desmet FO et al.
Nucleic Acids Research, 2009
Nature and mRNA effect of 282 different NF1 point mutations: focus on splicing alterations.
Pros E et al.
Human Mutation, 2008
Disruption of exonic splicing enhancer elements is the principal cause of exon skipping associated with seven nonsense or missense alleles of NF1.
Zatkova A et al.
Human Mutation, 2004
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